The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON SYSTEMS
Transactions ID Number: 31-284
Full Name: Li-xue Li
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Room 237, telecommunications group Building, 800#, Dongchuan Road, Shanghai
Country: CHINA
Tel: 086-021-34204289-13
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E-mail address: lilixue@sjtu.edu.cn
Other E-mails: lilixue@263.net
Title of the Paper: Pattern Recognition of GIS defects based on Envelope characteristics of UHF signal
Authors as they appear in the Paper: Li Li-xue, Huang Cheng-jun, Zeng Yi, Jiang Xiu-chen
Email addresses of all the authors: lilixue@sjtu.edu.cn
Number of paper pages: 10
Abstract: Partial discharge detection at UHF is one of the most effective methods for GIS diagnosis [1]. In this paper, five typical defect models and experiments in GIS have been carried out in laboratory. The envelope signals of UHF signal have been acquired based on UHF envelop detection circuit. The paper introduce the design of hardware including UHF envelope detection circuit and high-speed data sampling. The defect models and the process of model experiments were described too. Especially, A new method of pattern recognition was mentioned which analyses the characteristic parameters of the envelope signal at time-domain with BP neural network. The results indicate that the method used in this paper is effective.
Keywords: GIS UHF Envelope detection BP neural-network Pattern recognition
EXTENSION of the file: .doc
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